Flavio De Stefano
Senior Engineer at Spotify
Stockholm, Stockholm County, Sweden
Summary
🤩
Rockstar🎓
Top SchoolFlavio De Stefano is a Senior Engineer based in Stockholm with 12 years of experience building front-end and full-stack web applications, currently driving engineering efforts at Spotify. He blends hands-on JavaScript expertise with systems thinking, contributing polished visualizations and algorithm implementations—examples include retina-ready waveform rendering in the popular kopiro/siriwave library and algorithm visualizations (stable matching, Miller-Rabin, Tarjan, Freivalds) for algorithm-visualizer. Prior roles range from software engineering to engineering management at Caffeina, reflecting both technical depth and team leadership. His work shows a consistent focus on improving UX and performance through careful front-end optimization and clear algorithmic thinking. Trained in Computer Engineering at the Università degli studi di Parma, he brings an academic foundation to practical product delivery. Outside core product work he contributes open-source projects that make complex algorithms and visual effects accessible to other developers.
12 years of coding experience
9 years of employment as a software developer
Ingegneria Informatica, Ingegneria Informatica at Università degli studi di ParmaLiceo Scientifico Tecnologico
English, Italian
Stackoverflow
699reputation
18kreached
31answers
3questions
Github Skills (23)
algorithms10
graph-algorithms10
javascript10
animation10
canvas10
data-structure10
data-structures10
number-theory10
breadth-first-search9
ui-design9
front-end-development9
uid9
matrix8
mat8
oci86
Programming languages (18)
Github contributions (5)
kopiro/siriwave
May 2014 - Dec 2021
The Apple® Siri wave-form replicated in a JS library.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:14 releases, 1 review, 171 commits in 7 years 8 months
Contributions summary:Flavio primarily contributed to the front-end aspects of the "siriwave" library, replicating the Apple® Siri wave-form in JavaScript. Their commits focused on adding and modifying functionality within the siriwave.js file to improve the visual presentation of the waveform. They enhanced the library by making it "Retina ready," adding options for speed, and adding options for the color and interpolation of values.
apple-sirianimationjs-librarycanvasjavascript
algorithm-visualizer/algorithms
Jun 2017 - Jun 2017
:crystal_ball:Algorithm Visualizations
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:7 commits in 10 days
Contributions summary:Flavio contributed several algorithm visualizations to the repository. The primary focus was on implementing algorithms in JavaScript, including stable matching, primality testing using the Miller-Rabin algorithm, and the Freivalds algorithm for matrix multiplication verification. The user also implemented a breadth-first search (BFS) algorithm to check for graph bipartiteness and integrated the Tarjan algorithm for finding strongly connected components (SCCs). These contributions involved both algorithm implementation and associated data visualization elements within the repository's framework.
crystal-ballcrystalvisualizationsdata-visualizationball
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